Package com.google.cloud.automl.v1beta1

Interface BoundingBoxMetricsEntryOrBuilder

  • All Superinterfaces:
    com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
    All Known Implementing Classes:
    BoundingBoxMetricsEntry, BoundingBoxMetricsEntry.Builder
    public interface BoundingBoxMetricsEntryOrBuilder
extends com.google.protobuf.MessageOrBuilder

    • Method Detail

      • getIouThreshold

        float getIouThreshold()
         Output only. The intersection-over-union threshold value used to compute
 this metrics entry.
        float iou_threshold = 1;
        Returns:
        The iouThreshold.

      • getMeanAveragePrecision

        float getMeanAveragePrecision()
         Output only. The mean average precision, most often close to au_prc.
        float mean_average_precision = 2;
        Returns:
        The meanAveragePrecision.

      • getConfidenceMetricsEntriesList

        List<BoundingBoxMetricsEntry.ConfidenceMetricsEntry> getConfidenceMetricsEntriesList()
         Output only. Metrics for each label-match confidence_threshold from
 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
 derived from them.
        repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

      • getConfidenceMetricsEntries

        BoundingBoxMetricsEntry.ConfidenceMetricsEntry getConfidenceMetricsEntries​(int index)
         Output only. Metrics for each label-match confidence_threshold from
 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
 derived from them.
        repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

      • getConfidenceMetricsEntriesCount

        int getConfidenceMetricsEntriesCount()
         Output only. Metrics for each label-match confidence_threshold from
 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
 derived from them.
        repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

      • getConfidenceMetricsEntriesOrBuilderList

        List<? extends BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder> getConfidenceMetricsEntriesOrBuilderList()
         Output only. Metrics for each label-match confidence_threshold from
 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
 derived from them.
        repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

      • getConfidenceMetricsEntriesOrBuilder

        BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntriesOrBuilder​(int index)
         Output only. Metrics for each label-match confidence_threshold from
 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
 derived from them.
        repeated .google.cloud.automl.v1beta1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;